Required Skills & Experience

• Strong background in machine learning, data science, and applied AI.
• Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools.
• Experience building chatbots, copilots, or similar AI-driven automation.
• Solid programming skills with Python.
• Knowledge of MCP (Model Context Protocol) is a plus.
• Experience preparing datasets and building ML pipelines.
• Familiarity with product development lifecycles and agile delivery practices.
• Security-conscious mindset with knowledge of data protection best practices, especially when working with sensitive or regulated data.
• Strong problem-solving skills with ability to translate business needs into AI solutions.
• Excellent collaboration and communication skills to work across technical and non-technical teams.
• Ability to explain complex AI concepts simply to stakeholders.
• Bachelor’s degree in a relevant field along with at least 5 years of related work experience

Preferred Qualifications

• Experience with cloud platforms (Azure preferred)
• Familiarity with frameworks and libraries such as OpenAI SDK, Azure AI SDK, LangChain, and Pandas.
• Knowledge of enterprise data governance, compliance, and responsible AI practices.
• Prior experience in professional services (accounting, consulting, or similar) a plus.

Knowledge & Experience

• At least 1 year of applied AI experience
• Proficiency with Azure OpenAI, Copilot Studio, Power Platform, and Microsoft ecosystem tools, with proven success embedding AI solutions into enterprise environments.
• Strong programming background in Python and SQL, with experience using frameworks and libraries like LangChain, Pandas, and Azure AI SDK.
• Experience building and deploying chatbots, Copilot extensions, and automation workflows that reduce manual work and improve efficiency.
• Skilled in data engineering and pipeline development, including preparation of structured and unstructured datasets for AI/ML use cases.
• Solid understanding of cloud platforms (Azure preferred), enterprise data governance, and responsible AI practices.
• Strong collaboration skills with ability to translate technical concepts into plain language for non-technical stakeholders.
• Able to work independently or in collaborative, cross-functional teams to deliver AI and data-driven solutions and helping shape a newly implemented Ai focused team at BPM.
• Strong analytical and problem-solving skills with ability to adapt quickly to shifting priorities and emerging technologies.
• Able to adjust quickly to the fast-evolving AI/ML landscape
• Skilled at translating complex technical concepts into plain language for non-technical colleagues and leadership.
• Effective at building trust and collaboration across diverse teams, including technical staff, business stakeholders, and leadership.
• Naturally curious, persuasive, and motivated to drive adoption of innovative technologies.
• Strong written and verbal communicator, with experience preparing clear documentation, training materials, and presentations.
• Adept at researching new AI tools, frameworks, and industry trends, and applying them to practical business use cases.
• Customer- and colleague-focused mindset, ensuring AI solutions align with real-world needs.
• Highly organized with ability to prioritize and execute tasks in high-pressure, deadline-driven environments.
• Persistent and results-oriented, with a track record of seeing projects through to completion.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.